Study finds Wikipedia influences judicial behavior
Using a randomized field experiment, researchers discover that Wikipedia articles affect judges’ legal reasoning.
Using a randomized field experiment, researchers discover that Wikipedia articles affect judges’ legal reasoning.
Neuroscience professor and Science Hub investigator Ted Adelson explains how simulating the sense of touch with a camera can make robots smarter.
MassRobotics, a nonprofit founded by several MIT alumni, is advancing an industry that will play an increasingly important role in our lives.
“Interpretability methods” seek to shed light on how machine-learning models make predictions, but researchers say to proceed with caution.
MIT researchers create KineCAM, an instant camera that yields images that appear to move.
Professor of electrical engineering and computer science will receive additional support to advance his research and career.
With FabO, PhD student Dishita Turakhia wants to empower students to learn digital fabrication by making video game objects and characters come alive.
Researchers have made strides toward machine-learning models that can help doctors more efficiently find information in a patient’s health record.
A geometric deep-learning model is faster and more accurate than state-of-the-art computational models, reducing the chances and costs of drug trial failures.
Researchers created Exo for writing high-performance code on hardware accelerators.
The brilliant scientist was known for both the depth of his intellect and his kindness.
Rapid increases in the speed and power of microchips have fueled innovation in many industries, but the future trajectory of that incredible progress may be in jeopardy.
MIT alumni-founded Overjet analyzes and annotates dental X-rays to help dentists offer more comprehensive care.
A new system lets robots manipulate soft, deformable material into various shapes from visual inputs, which could one day enable better home assistants.
MIT scientists unveil the first open-source simulation engine capable of constructing realistic environments for deployable training and testing of autonomous vehicles.